【个人简介】

万俊，男，福建邵武人，博士/博士后，讲师，硕士生导师，中国电子学会会员，IEEE Member,海军航空大学学报青年编委、Top期刊Remote Sensing专题副主编。2020年毕业于西安电子科技大学雷达信号处理全国重点实验室，自2020年7月起，就职于金沙贵宾0029线路检测，长期从事雷达信号处理、杂波建模、智能表征与抑制、低可观测运动目标/集群目标检测、分辨与参数估计等方面的研究。主持国自然青年项目、某科技基础加强计划重点项目子课题、装发JD领域重点项目子课题等国家级项目3项、省部级纵向项目3项，横向项目3项，作为主要技术负责人参与某科技基础加强计划项目、国自然面上/重点项目、装发预研基金项目、GFKGJ基础预研项目、以及多项研究所横向项目。近年来在行业内顶级会议，以及IEEE/IET系列和国内权威期刊上发表学术论文30余篇，申请国家发明专利10余项，研究成果支撑获得中国雷达行业协会技术发明一等奖1项。

【部分学术奖励】

[1]2023年度中国雷达行业协会科学技术奖-技术发明一等奖

项目名称：复杂环境阵列雷达干扰抑制技术及应用

主要完成人：杨小鹏、李东、渠晓东、万俊、孟昊宇、高炜程

【部分科研项目】

[1]国家自然科学基金青年科学基金项目，广域密集小无人机的雷达多维联合快速检测与精细分离技术研究，批准号：62201099，2023/01~2025/12，30万元，主持。

[2]装发JD领域重点项目子课题，xxx建模与特性认知，批准号：xxxx，2023/06~2024/08，70万元，主持。

[3]某科技基础加强计划重点项目子课题，面向xx的xx数据建模与融合方法，批准号：xxxx，2023/06~2027/05，60万元，主持。

[4]重庆市自然科学基金博士后基金项目，临近空间高超飞行雷达舰船运动目标多域联合参数估计与成像方法研究，批准号：cstc2021jcyj-bsh0132，2021/09~2023/09，10万元，主持。

[5]移动通信教育部工程研究中心重点实验室开研究项目，跨域特征整合的海面舰船目标智能检测方法研究，批准号：cqupt-mct-202103，2021/12~2023/12，6万元，主持。

[6]广西无线宽带通信与信号处理重点实验室开放基金项目，时敏非线性运动目标的SAR多维联合参数估计与成像方法研究，批准号：GXKL06200214，2020/07~2022/06，5万元，主持。

[7]横向项目，面向xx目标xx雷达成像仿真验证系统，批准号：H20231811，2023/11~2024/11，40.2万元，主持。

[8]横向项目，数字仿真软件集成技术，批准号：H20230756，2023/05~2024/05，19.8万元，主持。

[9]横向项目，雷达干扰对抗仿真模块及显示开发，批准号：H20240102，2023/10~2023/12，10万元，主持。

【部分科研论文】(*代表通讯作者)

[1]Jun Wan（万俊）*, Xiaohua Kang, Xiaoheng Tan, Dong Li, Zhanye. Chen, Hongqing Liu. An efficient approach for coherent integration detection of high-speed maneuvering targets with arbitrary-order Doppler frequency migrations[J]. IEEE Transactions on Aerospace and Electronic Systems, 2023, 59(5): 6729-6748.

[2]Jun Wan（万俊）*, Xiaoheng Tan, Zhanye Chen, Dong Li, Yu Zhou, Linrang Zhang. Fast approach for SAR imaging of ground moving target with Doppler ambiguity based on 2-D SCFT and IRFCCF[J]. IEEE Geoscience and Remote Sensing Letters, 2022, 19: no. 4005105.

[3]Jun Wan（万俊）*, Zaoyun He, Xiaoheng Tan, Dong Li, Hongqing Liu, Yuxiang Shu, Zhanye Chen.Coherent integration for maneuvering target detection via fast nonparametric estimation method[J].Signal Processing, 2023, 203: no. 108820.

[4]Jun Wan（万俊）*, Xiaoheng Tan, Zhanye Chen, Dong Li, Qinghua Liu, Yu Zhou, Linrang Zhang. Refocusing of ground moving targets with Doppler ambiguity using keystone transform and modified second-order keystone transform for synthetic aperture radar[J]. Remote Sensing, 2021, 13(2): no. 177.

[5]Xiaohua Kang,Jun Wan（万俊）*, Dong Li, Qinghua Liu, Hongqing Liu, Rensu Hu, Zhanye Chen.Spaceborne distributed aperture radar maneuvering target detection approach with space-time 2D hybrid integration technique[J].Signal Processing, 2024, 217: no. 109348.

[6]Yuxiang Shu,Jun Wan（万俊）*, Dong Li, Zhanye Chen, Hongqing Liu. Fast approach for SAR imaging of ground-based moving targets based on range azimuth joint processing[J]. Remote Sensing, 2022, 14(13): no. 2965.

[7]Zhanye Chen, Li Li,Jun Wan（万俊）*, Dong Li, Xiaoheng Tan. Efficient ground moving target imaging method for synthetic aperture radar with target azimuth ambiguity[J]. IEEE Sensors Journal, 2021, 21(20): 23297-23307.

[8]Zhanye Chen, Zhiqiang Zeng, Dongning Fu, Yan Huang, Qiang Li, Xi Zhang,Jun Wan（万俊）*. Back-projection imaging for synthetic aperture radar with topography occlusion[J]. Remote Sensing, 2023, 15(13): no. 726.

[9]Jun Wan (万俊)*, Haoyu Zhu, Xiaoheng Tan, Zhanye Chen, Dong Li. Computationally efficient ground moving target focusing method for synthetic aperture radar[C]. 2021 CIE, Haikou, China, December, 2021: 374-377.

[10]Jun Wan (万俊)*, Zhanye Chen*, Yu Zhou, Dong Li, Yan Huang, Linrang Zhang. Ground moving target imaging based on MSOKT and KT for synthetic aperture radar[C]. IGARSS 2020, Hawaii, USA, July, 2020: 2141-2144.

[11]Yu Zhou, Liming Gou,Jun Wan (万俊)*, Zhanye Chen. Detection and resolution of UAV swarms based on KT and ANM[C]. IET International Radar Conference (IRC) 2023, Chongqing, China, December, 2023.

[12]Zhanye Chen*, Yan Huang,Jun Wan (万俊)*, Dong Li, Li Li, Zhiqiang Zeng, Shuwei Zhou. A novel SAR image domain-ground moving target imaging method [C]. IGARSS 2020, Hawaii, USA, July, 2020: 2352-2355.

[13]Jun Wan（万俊）, Yu Zhou*, Linrang Zhang, and Zhanye Chen. Efficient algorithm for SAR refocusing of ground fast-maneuvering targets[J]. Remote Sensing, 2019, 11(19): 1-29.

[14]Jun Wan（万俊）, Yu Zhou*, Linrang Zhang, and Zhanye Chen. A Doppler ambiguity tolerated method for radar sensor maneuvering target focusing and detection[J]. IEEE Sensors Journal, 2019, 19(16): 6691-6704.

[15]Jun Wan（万俊）, Yu Zhou*, Linrang Zhang, and Zhanye Chen. Ground moving target focusing and motion parameter estimation method via MSOKT for synthetic aperture radar[J]. IET Signal Processing, 2019, 13(5): 528-537.

[16]万俊,周宇*,张林让,陈展野.严重方位模糊下的合成孔径雷达微弱运动目标聚焦与参数估计方法[J].西安交通大学学报, 2019, 53(6): 85-91.

[17]万俊,周宇*,张林让,陈展野.基于时间反转和降阶Keystone的SAR-GMTI快速聚焦方法[J].航空学报, 2018, 39(6): 321862.

[18]Zhanye Chen*, Zhiqiang Zeng, Yan Huang*,Jun Wan (万俊), Xiaoheng Tan. SAR raw data simulation for fluctuant terrain: A new shadow judgment method and simulation result evaluation framework[J]. IEEE Transactions on Geoscience and Remote Sensing, 2022, 60: no. 5215018.

[19]Dong Li*, Renjie Jiang, Tianqi Mao, Shuang Liu,Jun Wan (万俊), Qinghua Liu. Knowledge-guided rotated network for power line detection in infrared images[J]. IEEE Geoscience and Remote Sensing Letters, 2024, 21: no. 6000505.

[20]Shuang Liu, Dong Li*, Renjie Jiang, Qinghua Liu,Jun Wan (万俊), Xiaopeng Yang, Hehao Liu. A mixed-scale self-distillation network for accurate ship detection in SAR images[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023, 16: no. 9849.

[21]Xiuqin Li, Dong Li*, Hongqing Liu,Jun Wan (万俊), Zhanye Chen, Qinghua Liu. A-BFPN: An attention-guided balanced feature pyramid network for SAR ship detection [J]. Remote Sensing, 2022, 14(15), no. 3829.

[22]Zhanye Chen*, Shuwei Zhou, Xing Wang, Yan Huang,Jun Wan (万俊), Dong Li, Xiaoheng Tan. Single range data-based clutter suppression method for multichannel SAR[J]. IEEE Geoscience and Remote Sensing Letters, 2022, 19: no. 4012905.

[23]Dong Li*, Jinzhi Ren, Hongqing Liu, Zhijun Yang,Jun Wan (万俊), Zhanye Chen. A novel ISAR imaging approach for maneuvering targets with satellite-borne platform[J]. IEEE Geoscience and Remote Sensing Letters, 2022, 19: no. 4017105.

【招生说明】

1、研究生：每年招收推免和统考硕士研究生1-2名，招生学科为信息与通信工程，要求：对科研感兴趣，能够静下心来做科研，不浮躁。

2、本科生：名额不限，要求：本校本科二年级及以上电子信息类学生，本科课程学有余力，对科研感兴趣。

3、研究生报考或本科生科研训练报名，请提前邮件联系并附上简历（如72小时后未收到回复，请重新发送一次）。

欢迎致力于信号处理领域研究的优秀学子们加入本课题组，课题组研究经费充足，根据科研贡献提供具有竞争力的科研补贴。

邮箱：wanjun at cqu dot edu dot cn;

办公地点：重庆大学虎溪校区信息技术科研楼A509室。